Director of BSA/AML
Manage ongoing customer due diligence program
What You Do Today
Ensure high-risk customers receive enhanced due diligence, beneficial ownership information stays current, and risk ratings are updated based on evolving activity patterns.
AI That Applies
Dynamic risk scoring — AI continuously re-scores customer risk based on transaction behavior, news events, and network analysis instead of relying on static annual reviews.
Technologies
How It Works
The system ingests transaction behavior as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Risk ratings update in real-time. A customer who was medium-risk last year gets flagged for review because their transaction pattern shifted to match known money laundering typologies.
What Stays
Enhanced due diligence — actually talking to the customer, verifying the business purpose, making the keep-or-exit decision — is human work.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for manage ongoing customer due diligence program, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long manage ongoing customer due diligence program takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your Chief Compliance Officer
“What are the top 5 reasons customers contact us, and which of those could be resolved without a human?”
They set the risk appetite for AI adoption in regulated processes
your legal counsel
“How do we currently measure service quality, and would AI-assisted responses change that measurement?”
AI in compliance creates new regulatory interpretation questions
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.